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📊 Did you know? LLMs show up to a 75% performance variation based on option order in multiple-choice tasks. Pouya Pezeshkpour and estevamhruschka uncover the intricacies of model behavior in multiple-choice tasks. #AI #NLP #LLMs #NAACL2024 NAACL megagon.ai/order-matters-…

1/ 🌈Misgendering causes real harm & is often overlooked in NLP. Based on a community survey, Sunipa Dev, sameer & I introduce the 1st interventions for misgendering task and eval dataset, MisgenderMender, in our #NAACL2024 paper: shorturl.at/MdzHv 🗣️: 6/18 Don Diego 9am!

Are you interested in LLM hallucinations in multi-document summarization? We find that: LLMs hallucinate a lot, and often towards the end of summaries; Errors arise from ignored instructions or offering generic insights; post-hoc mitigation methods are not very effective. 👇

Search engines, hiring platforms, and rec systems all rely on ranking. Traditional ranking methods struggle with multiple conflicting priorities, so we created Multi-Conditional Ranking, MCRank Bench, and EXSIR 🧵megagon.ai/rethinking-ran… Pouya Pezeshkpour estevamhruschka #NAACL2025